Dataset statistics
| Number of variables | 18 |
|---|---|
| Number of observations | 3116 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 19 |
| Duplicate rows (%) | 0.6% |
| Total size in memory | 462.5 KiB |
| Average record size in memory | 152.0 B |
Variable types
| Numeric | 8 |
|---|---|
| Categorical | 10 |
| Dataset has 19 (0.6%) duplicate rows | Duplicates |
emp.var.rate is highly overall correlated with cons.price.idx and 3 other fields | High correlation |
cons.price.idx is highly overall correlated with emp.var.rate and 2 other fields | High correlation |
cons.conf.idx is highly overall correlated with month | High correlation |
euribor3m is highly overall correlated with emp.var.rate and 2 other fields | High correlation |
nr.employed is highly overall correlated with emp.var.rate and 2 other fields | High correlation |
contact is highly overall correlated with cons.price.idx and 1 other fields | High correlation |
month is highly overall correlated with emp.var.rate and 5 other fields | High correlation |
default is highly imbalanced (99.6%) | Imbalance |
previous has 2622 (84.1%) zeros | Zeros |
Reproduction
| Analysis started | 2023-11-04 03:30:33.080677 |
|---|---|
| Analysis finished | 2023-11-04 03:30:37.410284 |
| Duration | 4.33 seconds |
| Software version | ydata-profiling vv4.6.1 |
| Download configuration | config.json |
age
Real number (ℝ)
| Distinct | 62 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 39.236521 |
| Minimum | 20 |
|---|---|
| Maximum | 88 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 48.7 KiB |
Quantile statistics
| Minimum | 20 |
|---|---|
| 5-th percentile | 26 |
| Q1 | 31 |
| median | 37 |
| Q3 | 46 |
| 95-th percentile | 58 |
| Maximum | 88 |
| Range | 68 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 10.225997 |
|---|---|
| Coefficient of variation (CV) | 0.26062445 |
| Kurtosis | 0.7335795 |
| Mean | 39.236521 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.87016679 |
| Sum | 122261 |
| Variance | 104.57101 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 32 | 189 | 6.1% |
| 31 | 166 | 5.3% |
| 34 | 148 | 4.7% |
| 30 | 147 | 4.7% |
| 33 | 138 | 4.4% |
| 35 | 135 | 4.3% |
| 36 | 125 | 4.0% |
| 29 | 123 | 3.9% |
| 38 | 114 | 3.7% |
| 41 | 106 | 3.4% |
| Other values (52) | 1725 |
| Value | Count | Frequency (%) |
| 20 | 2 | 0.1% |
| 21 | 7 | 0.2% |
| 22 | 9 | 0.3% |
| 23 | 15 | 0.5% |
| 24 | 47 | 1.5% |
| 25 | 48 | 1.5% |
| 26 | 54 | |
| 27 | 74 | |
| 28 | 89 | |
| 29 | 123 |
| Value | Count | Frequency (%) |
| 88 | 1 | < 0.1% |
| 82 | 2 | |
| 81 | 3 | |
| 80 | 4 | |
| 78 | 3 | |
| 77 | 1 | < 0.1% |
| 76 | 3 | |
| 75 | 2 | |
| 74 | 3 | |
| 73 | 3 |
job
Categorical
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.7 KiB |
| admin. | |
|---|---|
| technician | |
| blue-collar | |
| services | |
| management | |
| Other values (7) |
Length
| Max length | 13 |
|---|---|
| Median length | 12 |
| Mean length | 8.8822208 |
| Min length | 6 |
Characters and Unicode
| Total characters | 27677 |
|---|---|
| Distinct characters | 24 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | blue-collar |
|---|---|
| 2nd row | services |
| 3rd row | services |
| 4th row | admin. |
| 5th row | services |
Common Values
| Value | Count | Frequency (%) |
| admin. | 857 | |
| technician | 574 | |
| blue-collar | 555 | |
| services | 277 | 8.9% |
| management | 265 | 8.5% |
| self-employed | 127 | 4.1% |
| retired | 120 | 3.9% |
| entrepreneur | 107 | 3.4% |
| unemployed | 87 | 2.8% |
| housemaid | 75 | 2.4% |
| Other values (2) | 72 | 2.3% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| admin | 857 | |
| technician | 574 | |
| blue-collar | 555 | |
| services | 277 | 8.9% |
| management | 265 | 8.5% |
| self-employed | 127 | 4.1% |
| retired | 120 | 3.9% |
| entrepreneur | 107 | 3.4% |
| unemployed | 87 | 2.8% |
| housemaid | 75 | 2.4% |
| Other values (2) | 72 | 2.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 3566 | |
| n | 2942 | |
| a | 2591 | 9.4% |
| i | 2477 | 8.9% |
| l | 2006 | 7.2% |
| c | 1980 | 7.2% |
| m | 1676 | 6.1% |
| r | 1393 | 5.0% |
| d | 1321 | 4.8% |
| t | 1176 | 4.2% |
| Other values (14) | 6549 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 26138 | |
| Other Punctuation | 857 | 3.1% |
| Dash Punctuation | 682 | 2.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 3566 | |
| n | 2942 | |
| a | 2591 | |
| i | 2477 | |
| l | 2006 | |
| c | 1980 | 7.6% |
| m | 1676 | 6.4% |
| r | 1393 | 5.3% |
| d | 1321 | 5.1% |
| t | 1176 | 4.5% |
| Other values (12) | 5010 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 857 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 682 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 26138 | |
| Common | 1539 | 5.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 3566 | |
| n | 2942 | |
| a | 2591 | |
| i | 2477 | |
| l | 2006 | |
| c | 1980 | 7.6% |
| m | 1676 | 6.4% |
| r | 1393 | 5.3% |
| d | 1321 | 5.1% |
| t | 1176 | 4.5% |
| Other values (12) | 5010 |
Common
| Value | Count | Frequency (%) |
| . | 857 | |
| - | 682 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 27677 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 3566 | |
| n | 2942 | |
| a | 2591 | 9.4% |
| i | 2477 | 8.9% |
| l | 2006 | 7.2% |
| c | 1980 | 7.2% |
| m | 1676 | 6.1% |
| r | 1393 | 5.0% |
| d | 1321 | 4.8% |
| t | 1176 | 4.2% |
| Other values (14) | 6549 |
marital
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.7 KiB |
| married | |
|---|---|
| single | |
| divorced | |
| unknown | 10 |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 6.8045571 |
| Min length | 6 |
Characters and Unicode
| Total characters | 21203 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | married |
|---|---|
| 2nd row | single |
| 3rd row | married |
| 4th row | married |
| 5th row | single |
Common Values
| Value | Count | Frequency (%) |
| married | 1803 | |
| single | 956 | |
| divorced | 347 | 11.1% |
| unknown | 10 | 0.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| married | 1803 | |
| single | 956 | |
| divorced | 347 | 11.1% |
| unknown | 10 | 0.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 3953 | |
| i | 3106 | |
| e | 3106 | |
| d | 2497 | |
| m | 1803 | |
| a | 1803 | |
| n | 986 | 4.7% |
| s | 956 | 4.5% |
| g | 956 | 4.5% |
| l | 956 | 4.5% |
| Other values (6) | 1081 | 5.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 21203 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 3953 | |
| i | 3106 | |
| e | 3106 | |
| d | 2497 | |
| m | 1803 | |
| a | 1803 | |
| n | 986 | 4.7% |
| s | 956 | 4.5% |
| g | 956 | 4.5% |
| l | 956 | 4.5% |
| Other values (6) | 1081 | 5.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 21203 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 3953 | |
| i | 3106 | |
| e | 3106 | |
| d | 2497 | |
| m | 1803 | |
| a | 1803 | |
| n | 986 | 4.7% |
| s | 956 | 4.5% |
| g | 956 | 4.5% |
| l | 956 | 4.5% |
| Other values (6) | 1081 | 5.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 21203 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 3953 | |
| i | 3106 | |
| e | 3106 | |
| d | 2497 | |
| m | 1803 | |
| a | 1803 | |
| n | 986 | 4.7% |
| s | 956 | 4.5% |
| g | 956 | 4.5% |
| l | 956 | 4.5% |
| Other values (6) | 1081 | 5.1% |
education
Categorical
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.7 KiB |
| university.degree | |
|---|---|
| high.school | |
| professional.course | |
| basic.9y | |
| basic.4y |
Length
| Max length | 19 |
|---|---|
| Median length | 17 |
| Mean length | 13.532092 |
| Min length | 8 |
Characters and Unicode
| Total characters | 42166 |
|---|---|
| Distinct characters | 23 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | basic.9y |
|---|---|
| 2nd row | high.school |
| 3rd row | high.school |
| 4th row | university.degree |
| 5th row | university.degree |
Common Values
| Value | Count | Frequency (%) |
| university.degree | 1114 | |
| high.school | 732 | |
| professional.course | 456 | |
| basic.9y | 412 | 13.2% |
| basic.4y | 251 | 8.1% |
| basic.6y | 151 | 4.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| university.degree | 1114 | |
| high.school | 732 | |
| professional.course | 456 | |
| basic.9y | 412 | 13.2% |
| basic.4y | 251 | 8.1% |
| basic.6y | 151 | 4.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 5368 | |
| i | 4230 | 10.0% |
| s | 4028 | 9.6% |
| r | 3140 | 7.4% |
| . | 3116 | 7.4% |
| o | 2832 | 6.7% |
| h | 2196 | 5.2% |
| c | 2002 | 4.7% |
| y | 1928 | 4.6% |
| g | 1846 | 4.4% |
| Other values (13) | 11480 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 38236 | |
| Other Punctuation | 3116 | 7.4% |
| Decimal Number | 814 | 1.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 5368 | |
| i | 4230 | |
| s | 4028 | |
| r | 3140 | 8.2% |
| o | 2832 | 7.4% |
| h | 2196 | 5.7% |
| c | 2002 | 5.2% |
| y | 1928 | 5.0% |
| g | 1846 | 4.8% |
| n | 1570 | 4.1% |
| Other values (9) | 9096 |
Decimal Number
| Value | Count | Frequency (%) |
| 9 | 412 | |
| 4 | 251 | |
| 6 | 151 | 18.6% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 3116 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 38236 | |
| Common | 3930 | 9.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 5368 | |
| i | 4230 | |
| s | 4028 | |
| r | 3140 | 8.2% |
| o | 2832 | 7.4% |
| h | 2196 | 5.7% |
| c | 2002 | 5.2% |
| y | 1928 | 5.0% |
| g | 1846 | 4.8% |
| n | 1570 | 4.1% |
| Other values (9) | 9096 |
Common
| Value | Count | Frequency (%) |
| . | 3116 | |
| 9 | 412 | 10.5% |
| 4 | 251 | 6.4% |
| 6 | 151 | 3.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 42166 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 5368 | |
| i | 4230 | 10.0% |
| s | 4028 | 9.6% |
| r | 3140 | 7.4% |
| . | 3116 | 7.4% |
| o | 2832 | 6.7% |
| h | 2196 | 5.2% |
| c | 2002 | 4.7% |
| y | 1928 | 4.6% |
| g | 1846 | 4.4% |
| Other values (13) | 11480 |
default
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.7 KiB |
| 0 | |
|---|---|
| 1 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3116 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 3115 | |
| 1 | 1 | < 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 3115 | |
| 1 | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 3115 | |
| 1 | 1 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3116 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 3115 | |
| 1 | 1 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3116 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 3115 | |
| 1 | 1 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3116 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 3115 | |
| 1 | 1 | < 0.1% |
housing
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.7 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3116 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 1701 | |
| 0 | 1415 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 1701 | |
| 0 | 1415 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 1701 | |
| 0 | 1415 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3116 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 1701 | |
| 0 | 1415 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3116 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 1701 | |
| 0 | 1415 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3116 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 1701 | |
| 0 | 1415 |
loan
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3116 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2602 | |
| 1 | 514 | 16.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 2602 | |
| 1 | 514 | 16.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2602 | |
| 1 | 514 | 16.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3116 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2602 | |
| 1 | 514 | 16.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3116 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2602 | |
| 1 | 514 | 16.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3116 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2602 | |
| 1 | 514 | 16.5% |
contact
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.7 KiB |
| cellular | |
|---|---|
| telephone |
Length
| Max length | 9 |
|---|---|
| Median length | 8 |
| Mean length | 8.3173941 |
| Min length | 8 |
Characters and Unicode
| Total characters | 25917 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | cellular |
|---|---|
| 2nd row | telephone |
| 3rd row | telephone |
| 4th row | cellular |
| 5th row | cellular |
Common Values
| Value | Count | Frequency (%) |
| cellular | 2127 | |
| telephone | 989 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| cellular | 2127 | |
| telephone | 989 |
Most occurring characters
| Value | Count | Frequency (%) |
| l | 7370 | |
| e | 5094 | |
| c | 2127 | 8.2% |
| u | 2127 | 8.2% |
| a | 2127 | 8.2% |
| r | 2127 | 8.2% |
| t | 989 | 3.8% |
| p | 989 | 3.8% |
| h | 989 | 3.8% |
| o | 989 | 3.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 25917 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| l | 7370 | |
| e | 5094 | |
| c | 2127 | 8.2% |
| u | 2127 | 8.2% |
| a | 2127 | 8.2% |
| r | 2127 | 8.2% |
| t | 989 | 3.8% |
| p | 989 | 3.8% |
| h | 989 | 3.8% |
| o | 989 | 3.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 25917 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| l | 7370 | |
| e | 5094 | |
| c | 2127 | 8.2% |
| u | 2127 | 8.2% |
| a | 2127 | 8.2% |
| r | 2127 | 8.2% |
| t | 989 | 3.8% |
| p | 989 | 3.8% |
| h | 989 | 3.8% |
| o | 989 | 3.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 25917 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| l | 7370 | |
| e | 5094 | |
| c | 2127 | 8.2% |
| u | 2127 | 8.2% |
| a | 2127 | 8.2% |
| r | 2127 | 8.2% |
| t | 989 | 3.8% |
| p | 989 | 3.8% |
| h | 989 | 3.8% |
| o | 989 | 3.8% |
month
Categorical
HIGH CORRELATION
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.7 KiB |
| may | |
|---|---|
| jul | |
| aug | |
| nov | |
| jun | |
| Other values (5) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 9348 |
|---|---|
| Distinct characters | 17 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | may |
|---|---|
| 2nd row | may |
| 3rd row | jun |
| 4th row | nov |
| 5th row | sep |
Common Values
| Value | Count | Frequency (%) |
| may | 992 | |
| jul | 519 | |
| aug | 497 | |
| nov | 389 | 12.5% |
| jun | 369 | 11.8% |
| apr | 170 | 5.5% |
| oct | 61 | 2.0% |
| sep | 57 | 1.8% |
| mar | 42 | 1.3% |
| dec | 20 | 0.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| may | 992 | |
| jul | 519 | |
| aug | 497 | |
| nov | 389 | 12.5% |
| jun | 369 | 11.8% |
| apr | 170 | 5.5% |
| oct | 61 | 2.0% |
| sep | 57 | 1.8% |
| mar | 42 | 1.3% |
| dec | 20 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1701 | |
| u | 1385 | |
| m | 1034 | |
| y | 992 | |
| j | 888 | |
| n | 758 | |
| l | 519 | 5.6% |
| g | 497 | 5.3% |
| o | 450 | 4.8% |
| v | 389 | 4.2% |
| Other values (7) | 735 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 9348 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1701 | |
| u | 1385 | |
| m | 1034 | |
| y | 992 | |
| j | 888 | |
| n | 758 | |
| l | 519 | 5.6% |
| g | 497 | 5.3% |
| o | 450 | 4.8% |
| v | 389 | 4.2% |
| Other values (7) | 735 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 9348 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1701 | |
| u | 1385 | |
| m | 1034 | |
| y | 992 | |
| j | 888 | |
| n | 758 | |
| l | 519 | 5.6% |
| g | 497 | 5.3% |
| o | 450 | 4.8% |
| v | 389 | 4.2% |
| Other values (7) | 735 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9348 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1701 | |
| u | 1385 | |
| m | 1034 | |
| y | 992 | |
| j | 888 | |
| n | 758 | |
| l | 519 | 5.6% |
| g | 497 | 5.3% |
| o | 450 | 4.8% |
| v | 389 | 4.2% |
| Other values (7) | 735 |
day_of_week
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.7 KiB |
| mon | |
|---|---|
| thu | |
| wed | |
| tue | |
| fri |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 9348 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | fri |
|---|---|
| 2nd row | fri |
| 3rd row | wed |
| 4th row | mon |
| 5th row | thu |
Common Values
| Value | Count | Frequency (%) |
| mon | 646 | |
| thu | 641 | |
| wed | 628 | |
| tue | 619 | |
| fri | 582 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| mon | 646 | |
| thu | 641 | |
| wed | 628 | |
| tue | 619 | |
| fri | 582 |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 1260 | |
| u | 1260 | |
| e | 1247 | |
| m | 646 | |
| o | 646 | |
| n | 646 | |
| h | 641 | |
| w | 628 | |
| d | 628 | |
| f | 582 | |
| Other values (2) | 1164 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 9348 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 1260 | |
| u | 1260 | |
| e | 1247 | |
| m | 646 | |
| o | 646 | |
| n | 646 | |
| h | 641 | |
| w | 628 | |
| d | 628 | |
| f | 582 | |
| Other values (2) | 1164 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 9348 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 1260 | |
| u | 1260 | |
| e | 1247 | |
| m | 646 | |
| o | 646 | |
| n | 646 | |
| h | 641 | |
| w | 628 | |
| d | 628 | |
| f | 582 | |
| Other values (2) | 1164 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9348 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| t | 1260 | |
| u | 1260 | |
| e | 1247 | |
| m | 646 | |
| o | 646 | |
| n | 646 | |
| h | 641 | |
| w | 628 | |
| d | 628 | |
| f | 582 | |
| Other values (2) | 1164 |
campaign
Real number (ℝ)
| Distinct | 25 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.5057766 |
| Minimum | 1 |
|---|---|
| Maximum | 35 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 48.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 7 |
| Maximum | 35 |
| Range | 34 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.595149 |
|---|---|
| Coefficient of variation (CV) | 1.0356665 |
| Kurtosis | 29.061924 |
| Mean | 2.5057766 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 4.2942059 |
| Sum | 7808 |
| Variance | 6.7347981 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 1 | 1359 | |
| 2 | 804 | |
| 3 | 387 | 12.4% |
| 4 | 211 | 6.8% |
| 5 | 107 | 3.4% |
| 6 | 79 | 2.5% |
| 7 | 42 | 1.3% |
| 8 | 27 | 0.9% |
| 9 | 22 | 0.7% |
| 11 | 15 | 0.5% |
| Other values (15) | 63 | 2.0% |
| Value | Count | Frequency (%) |
| 1 | 1359 | |
| 2 | 804 | |
| 3 | 387 | 12.4% |
| 4 | 211 | 6.8% |
| 5 | 107 | 3.4% |
| 6 | 79 | 2.5% |
| 7 | 42 | 1.3% |
| 8 | 27 | 0.9% |
| 9 | 22 | 0.7% |
| 10 | 12 | 0.4% |
| Value | Count | Frequency (%) |
| 35 | 1 | < 0.1% |
| 29 | 2 | 0.1% |
| 27 | 1 | < 0.1% |
| 24 | 1 | < 0.1% |
| 23 | 2 | 0.1% |
| 22 | 2 | 0.1% |
| 19 | 1 | < 0.1% |
| 18 | 1 | < 0.1% |
| 17 | 10 | |
| 16 | 3 | 0.1% |
previous
Real number (ℝ)
ZEROS
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.20892169 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 2622 |
| Zeros (%) | 84.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 48.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 1 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.56060961 |
|---|---|
| Coefficient of variation (CV) | 2.683348 |
| Kurtosis | 18.334341 |
| Mean | 0.20892169 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.6919975 |
| Sum | 651 |
| Variance | 0.31428314 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 2622 | |
| 1 | 389 | 12.5% |
| 2 | 71 | 2.3% |
| 3 | 20 | 0.6% |
| 4 | 11 | 0.4% |
| 5 | 2 | 0.1% |
| 6 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 2622 | |
| 1 | 389 | 12.5% |
| 2 | 71 | 2.3% |
| 3 | 20 | 0.6% |
| 4 | 11 | 0.4% |
| 5 | 2 | 0.1% |
| 6 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 6 | 1 | < 0.1% |
| 5 | 2 | 0.1% |
| 4 | 11 | 0.4% |
| 3 | 20 | 0.6% |
| 2 | 71 | 2.3% |
| 1 | 389 | 12.5% |
| 0 | 2622 |
emp.var.rate
Real number (ℝ)
HIGH CORRELATION
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -0.048106547 |
| Minimum | -3.4 |
|---|---|
| Maximum | 1.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 1460 |
| Negative (%) | 46.9% |
| Memory size | 48.7 KiB |
Quantile statistics
| Minimum | -3.4 |
|---|---|
| 5-th percentile | -2.9 |
| Q1 | -1.8 |
| median | 1.1 |
| Q3 | 1.4 |
| 95-th percentile | 1.4 |
| Maximum | 1.4 |
| Range | 4.8 |
| Interquartile range (IQR) | 3.2 |
Descriptive statistics
| Standard deviation | 1.5982312 |
|---|---|
| Coefficient of variation (CV) | -33.222739 |
| Kurtosis | -1.2235742 |
| Mean | -0.048106547 |
| Median Absolute Deviation (MAD) | 0.3 |
| Skewness | -0.57534557 |
| Sum | -149.9 |
| Variance | 2.5543431 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1.4 | 1169 | |
| -1.8 | 717 | |
| 1.1 | 487 | |
| -0.1 | 337 | 10.8% |
| -2.9 | 140 | 4.5% |
| -3.4 | 95 | 3.0% |
| -1.7 | 76 | 2.4% |
| -1.1 | 75 | 2.4% |
| -3 | 19 | 0.6% |
| -0.2 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| -3.4 | 95 | 3.0% |
| -3 | 19 | 0.6% |
| -2.9 | 140 | 4.5% |
| -1.8 | 717 | |
| -1.7 | 76 | 2.4% |
| -1.1 | 75 | 2.4% |
| -0.2 | 1 | < 0.1% |
| -0.1 | 337 | 10.8% |
| 1.1 | 487 | |
| 1.4 | 1169 |
| Value | Count | Frequency (%) |
| 1.4 | 1169 | |
| 1.1 | 487 | |
| -0.1 | 337 | 10.8% |
| -0.2 | 1 | < 0.1% |
| -1.1 | 75 | 2.4% |
| -1.7 | 76 | 2.4% |
| -1.8 | 717 | |
| -2.9 | 140 | 4.5% |
| -3 | 19 | 0.6% |
| -3.4 | 95 | 3.0% |
cons.price.idx
Real number (ℝ)
HIGH CORRELATION
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 93.531871 |
| Minimum | 92.201 |
|---|---|
| Maximum | 94.767 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 48.7 KiB |
Quantile statistics
| Minimum | 92.201 |
|---|---|
| 5-th percentile | 92.649 |
| Q1 | 93.075 |
| median | 93.444 |
| Q3 | 93.994 |
| 95-th percentile | 94.465 |
| Maximum | 94.767 |
| Range | 2.566 |
| Interquartile range (IQR) | 0.919 |
Descriptive statistics
| Standard deviation | 0.58486158 |
|---|---|
| Coefficient of variation (CV) | 0.0062530726 |
| Kurtosis | -0.85156193 |
| Mean | 93.531871 |
| Median Absolute Deviation (MAD) | 0.55 |
| Skewness | -0.094865709 |
| Sum | 291445.31 |
| Variance | 0.34206306 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| 93.994 | 487 | |
| 92.893 | 486 | |
| 93.918 | 480 | |
| 93.444 | 408 | |
| 93.2 | 332 | |
| 94.465 | 281 | |
| 93.075 | 160 | 5.1% |
| 92.963 | 66 | 2.1% |
| 92.201 | 62 | 2.0% |
| 92.431 | 38 | 1.2% |
| Other values (16) | 316 |
| Value | Count | Frequency (%) |
| 92.201 | 62 | 2.0% |
| 92.379 | 24 | 0.8% |
| 92.431 | 38 | 1.2% |
| 92.469 | 12 | 0.4% |
| 92.649 | 33 | 1.1% |
| 92.713 | 19 | 0.6% |
| 92.756 | 1 | < 0.1% |
| 92.843 | 24 | 0.8% |
| 92.893 | 486 | |
| 92.963 | 66 | 2.1% |
| Value | Count | Frequency (%) |
| 94.767 | 24 | 0.8% |
| 94.601 | 18 | 0.6% |
| 94.465 | 281 | |
| 94.215 | 27 | 0.9% |
| 94.199 | 33 | 1.1% |
| 94.055 | 22 | 0.7% |
| 94.027 | 27 | 0.9% |
| 93.994 | 487 | |
| 93.918 | 480 | |
| 93.876 | 19 | 0.6% |
cons.conf.idx
Real number (ℝ)
HIGH CORRELATION
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -40.61518 |
| Minimum | -50.8 |
|---|---|
| Maximum | -26.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 3116 |
| Negative (%) | 100.0% |
| Memory size | 48.7 KiB |
Quantile statistics
| Minimum | -50.8 |
|---|---|
| 5-th percentile | -47.1 |
| Q1 | -42.7 |
| median | -41.8 |
| Q3 | -36.4 |
| 95-th percentile | -31.4 |
| Maximum | -26.9 |
| Range | 23.9 |
| Interquartile range (IQR) | 6.3 |
Descriptive statistics
| Standard deviation | 4.742187 |
|---|---|
| Coefficient of variation (CV) | -0.11675898 |
| Kurtosis | -0.26723084 |
| Mean | -40.61518 |
| Median Absolute Deviation (MAD) | 4.4 |
| Skewness | 0.35230149 |
| Sum | -126556.9 |
| Variance | 22.488338 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| -36.4 | 487 | |
| -46.2 | 486 | |
| -42.7 | 480 | |
| -36.1 | 408 | |
| -42 | 332 | |
| -41.8 | 281 | |
| -47.1 | 160 | 5.1% |
| -40.8 | 66 | 2.1% |
| -31.4 | 62 | 2.0% |
| -26.9 | 38 | 1.2% |
| Other values (16) | 316 |
| Value | Count | Frequency (%) |
| -50.8 | 24 | 0.8% |
| -50 | 24 | 0.8% |
| -49.5 | 18 | 0.6% |
| -47.1 | 160 | 5.1% |
| -46.2 | 486 | |
| -45.9 | 1 | < 0.1% |
| -42.7 | 480 | |
| -42 | 332 | |
| -41.8 | 281 | |
| -40.8 | 66 | 2.1% |
| Value | Count | Frequency (%) |
| -26.9 | 38 | 1.2% |
| -29.8 | 24 | 0.8% |
| -30.1 | 33 | 1.1% |
| -31.4 | 62 | 2.0% |
| -33 | 19 | 0.6% |
| -33.6 | 12 | 0.4% |
| -34.6 | 10 | 0.3% |
| -34.8 | 18 | 0.6% |
| -36.1 | 408 | |
| -36.4 | 487 |
euribor3m
Real number (ℝ)
HIGH CORRELATION
| Distinct | 226 |
|---|---|
| Distinct (%) | 7.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.4815629 |
| Minimum | 0.635 |
|---|---|
| Maximum | 5.045 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 48.7 KiB |
Quantile statistics
| Minimum | 0.635 |
|---|---|
| 5-th percentile | 0.75125 |
| Q1 | 1.313 |
| median | 4.856 |
| Q3 | 4.961 |
| 95-th percentile | 4.966 |
| Maximum | 5.045 |
| Range | 4.41 |
| Interquartile range (IQR) | 3.648 |
Descriptive statistics
| Standard deviation | 1.7700993 |
|---|---|
| Coefficient of variation (CV) | 0.5084209 |
| Kurtosis | -1.5987711 |
| Mean | 3.4815629 |
| Median Absolute Deviation (MAD) | 0.111 |
| Skewness | -0.55399565 |
| Sum | 10848.55 |
| Variance | 3.1332517 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4.963 | 192 | 6.2% |
| 4.962 | 179 | 5.7% |
| 4.857 | 173 | 5.6% |
| 4.961 | 132 | 4.2% |
| 4.965 | 93 | 3.0% |
| 4.964 | 93 | 3.0% |
| 4.076 | 83 | 2.7% |
| 4.856 | 80 | 2.6% |
| 1.405 | 77 | 2.5% |
| 4.96 | 75 | 2.4% |
| Other values (216) | 1939 |
| Value | Count | Frequency (%) |
| 0.635 | 3 | |
| 0.639 | 2 | 0.1% |
| 0.644 | 5 | |
| 0.645 | 2 | 0.1% |
| 0.646 | 3 | |
| 0.649 | 2 | 0.1% |
| 0.65 | 1 | < 0.1% |
| 0.652 | 4 | |
| 0.654 | 1 | < 0.1% |
| 0.655 | 2 | 0.1% |
| Value | Count | Frequency (%) |
| 5.045 | 1 | < 0.1% |
| 4.97 | 14 | 0.4% |
| 4.968 | 67 | 2.2% |
| 4.967 | 42 | 1.3% |
| 4.966 | 54 | 1.7% |
| 4.965 | 93 | |
| 4.964 | 93 | |
| 4.963 | 192 | |
| 4.962 | 179 | |
| 4.961 | 132 |
nr.employed
Real number (ℝ)
HIGH CORRELATION
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5161.1172 |
| Minimum | 4963.6 |
|---|---|
| Maximum | 5228.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 48.7 KiB |
Quantile statistics
| Minimum | 4963.6 |
|---|---|
| 5-th percentile | 5008.7 |
| Q1 | 5099.1 |
| median | 5191 |
| Q3 | 5228.1 |
| 95-th percentile | 5228.1 |
| Maximum | 5228.1 |
| Range | 264.5 |
| Interquartile range (IQR) | 129 |
Descriptive statistics
| Standard deviation | 76.422717 |
|---|---|
| Coefficient of variation (CV) | 0.014807398 |
| Kurtosis | -0.25792718 |
| Mean | 5161.1172 |
| Median Absolute Deviation (MAD) | 37.1 |
| Skewness | -0.94472331 |
| Sum | 16082041 |
| Variance | 5840.4317 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 5228.1 | 1169 | |
| 5099.1 | 670 | |
| 5191 | 487 | |
| 5195.8 | 337 | 10.8% |
| 5076.2 | 140 | 4.5% |
| 5017.5 | 95 | 3.0% |
| 4991.6 | 76 | 2.4% |
| 4963.6 | 75 | 2.4% |
| 5008.7 | 47 | 1.5% |
| 5023.5 | 19 | 0.6% |
| Value | Count | Frequency (%) |
| 4963.6 | 75 | 2.4% |
| 4991.6 | 76 | 2.4% |
| 5008.7 | 47 | 1.5% |
| 5017.5 | 95 | 3.0% |
| 5023.5 | 19 | 0.6% |
| 5076.2 | 140 | 4.5% |
| 5099.1 | 670 | |
| 5176.3 | 1 | < 0.1% |
| 5191 | 487 | |
| 5195.8 | 337 |
| Value | Count | Frequency (%) |
| 5228.1 | 1169 | |
| 5195.8 | 337 | 10.8% |
| 5191 | 487 | |
| 5176.3 | 1 | < 0.1% |
| 5099.1 | 670 | |
| 5076.2 | 140 | 4.5% |
| 5023.5 | 19 | 0.6% |
| 5017.5 | 95 | 3.0% |
| 5008.7 | 47 | 1.5% |
| 4991.6 | 76 | 2.4% |
y
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 48.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3116 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2743 | |
| 1 | 373 | 12.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 2743 | |
| 1 | 373 | 12.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2743 | |
| 1 | 373 | 12.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3116 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2743 | |
| 1 | 373 | 12.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3116 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2743 | |
| 1 | 373 | 12.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3116 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2743 | |
| 1 | 373 | 12.0% |
| age | campaign | previous | emp.var.rate | cons.price.idx | cons.conf.idx | euribor3m | nr.employed | job | marital | education | default | housing | loan | contact | month | day_of_week | y | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| age | 1.000 | -0.023 | 0.023 | -0.015 | -0.007 | 0.072 | -0.001 | -0.010 | 0.247 | 0.263 | 0.122 | 0.000 | 0.000 | 0.000 | 0.065 | 0.097 | 0.053 | 0.147 |
| campaign | -0.023 | 1.000 | -0.086 | 0.177 | 0.130 | 0.027 | 0.163 | 0.153 | 0.000 | 0.016 | 0.013 | 0.000 | 0.000 | 0.000 | 0.096 | 0.046 | 0.000 | 0.062 |
| previous | 0.023 | -0.086 | 1.000 | -0.436 | -0.250 | -0.087 | -0.471 | -0.454 | 0.039 | 0.033 | 0.000 | 0.018 | 0.000 | 0.011 | 0.236 | 0.147 | 0.013 | 0.266 |
| emp.var.rate | -0.015 | 0.177 | -0.436 | 1.000 | 0.687 | 0.230 | 0.936 | 0.932 | 0.126 | 0.041 | 0.057 | 0.032 | 0.050 | 0.032 | 0.438 | 0.654 | 0.040 | 0.335 |
| cons.price.idx | -0.007 | 0.130 | -0.250 | 0.687 | 1.000 | 0.218 | 0.492 | 0.441 | 0.129 | 0.039 | 0.102 | 0.000 | 0.089 | 0.000 | 0.659 | 0.674 | 0.053 | 0.340 |
| cons.conf.idx | 0.072 | 0.027 | -0.087 | 0.230 | 0.218 | 1.000 | 0.231 | 0.140 | 0.108 | 0.036 | 0.078 | 0.000 | 0.047 | 0.035 | 0.381 | 0.609 | 0.050 | 0.397 |
| euribor3m | -0.001 | 0.163 | -0.471 | 0.936 | 0.492 | 0.231 | 1.000 | 0.934 | 0.134 | 0.052 | 0.058 | 0.039 | 0.061 | 0.000 | 0.443 | 0.600 | 0.156 | 0.411 |
| nr.employed | -0.010 | 0.153 | -0.454 | 0.932 | 0.441 | 0.140 | 0.934 | 1.000 | 0.125 | 0.057 | 0.067 | 0.000 | 0.053 | 0.035 | 0.449 | 0.597 | 0.037 | 0.416 |
| job | 0.247 | 0.000 | 0.039 | 0.126 | 0.129 | 0.108 | 0.134 | 0.125 | 1.000 | 0.163 | 0.412 | 0.087 | 0.064 | 0.000 | 0.073 | 0.112 | 0.000 | 0.108 |
| marital | 0.263 | 0.016 | 0.033 | 0.041 | 0.039 | 0.036 | 0.052 | 0.057 | 0.163 | 1.000 | 0.093 | 0.000 | 0.000 | 0.000 | 0.066 | 0.030 | 0.000 | 0.025 |
| education | 0.122 | 0.013 | 0.000 | 0.057 | 0.102 | 0.078 | 0.058 | 0.067 | 0.412 | 0.093 | 1.000 | 0.000 | 0.048 | 0.000 | 0.110 | 0.095 | 0.038 | 0.041 |
| default | 0.000 | 0.000 | 0.018 | 0.032 | 0.000 | 0.000 | 0.039 | 0.000 | 0.087 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.003 | 0.000 |
| housing | 0.000 | 0.000 | 0.000 | 0.050 | 0.089 | 0.047 | 0.061 | 0.053 | 0.064 | 0.000 | 0.048 | 0.000 | 1.000 | 0.067 | 0.066 | 0.056 | 0.000 | 0.000 |
| loan | 0.000 | 0.000 | 0.011 | 0.032 | 0.000 | 0.035 | 0.000 | 0.035 | 0.000 | 0.000 | 0.000 | 0.000 | 0.067 | 1.000 | 0.000 | 0.000 | 0.032 | 0.000 |
| contact | 0.065 | 0.096 | 0.236 | 0.438 | 0.659 | 0.381 | 0.443 | 0.449 | 0.073 | 0.066 | 0.110 | 0.000 | 0.066 | 0.000 | 1.000 | 0.562 | 0.045 | 0.145 |
| month | 0.097 | 0.046 | 0.147 | 0.654 | 0.674 | 0.609 | 0.600 | 0.597 | 0.112 | 0.030 | 0.095 | 0.000 | 0.056 | 0.000 | 0.562 | 1.000 | 0.070 | 0.265 |
| day_of_week | 0.053 | 0.000 | 0.013 | 0.040 | 0.053 | 0.050 | 0.156 | 0.037 | 0.000 | 0.000 | 0.038 | 0.003 | 0.000 | 0.032 | 0.045 | 0.070 | 1.000 | 0.000 |
| y | 0.147 | 0.062 | 0.266 | 0.335 | 0.340 | 0.397 | 0.411 | 0.416 | 0.108 | 0.025 | 0.041 | 0.000 | 0.000 | 0.000 | 0.145 | 0.265 | 0.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| age | job | marital | education | default | housing | loan | contact | month | day_of_week | campaign | previous | emp.var.rate | cons.price.idx | cons.conf.idx | euribor3m | nr.employed | y | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 30 | blue-collar | married | basic.9y | 0 | 1 | 0 | cellular | may | fri | 2 | 0 | -1.8 | 92.893 | -46.2 | 1.313 | 5099.1 | 0 |
| 1 | 39 | services | single | high.school | 0 | 0 | 0 | telephone | may | fri | 4 | 0 | 1.1 | 93.994 | -36.4 | 4.855 | 5191.0 | 0 |
| 2 | 25 | services | married | high.school | 0 | 1 | 0 | telephone | jun | wed | 1 | 0 | 1.4 | 94.465 | -41.8 | 4.962 | 5228.1 | 0 |
| 4 | 47 | admin. | married | university.degree | 0 | 1 | 0 | cellular | nov | mon | 1 | 0 | -0.1 | 93.200 | -42.0 | 4.191 | 5195.8 | 0 |
| 5 | 32 | services | single | university.degree | 0 | 0 | 0 | cellular | sep | thu | 3 | 2 | -1.1 | 94.199 | -37.5 | 0.884 | 4963.6 | 0 |
| 6 | 32 | admin. | single | university.degree | 0 | 1 | 0 | cellular | sep | mon | 4 | 0 | -1.1 | 94.199 | -37.5 | 0.879 | 4963.6 | 0 |
| 8 | 31 | services | divorced | professional.course | 0 | 0 | 0 | cellular | nov | tue | 1 | 1 | -0.1 | 93.200 | -42.0 | 4.153 | 5195.8 | 0 |
| 11 | 36 | self-employed | single | basic.4y | 0 | 0 | 0 | cellular | jul | thu | 1 | 0 | 1.4 | 93.918 | -42.7 | 4.968 | 5228.1 | 0 |
| 12 | 36 | admin. | married | high.school | 0 | 0 | 0 | telephone | may | wed | 2 | 0 | 1.1 | 93.994 | -36.4 | 4.859 | 5191.0 | 0 |
| 13 | 47 | blue-collar | married | basic.4y | 0 | 1 | 0 | telephone | jun | thu | 2 | 0 | 1.4 | 94.465 | -41.8 | 4.958 | 5228.1 | 0 |
| age | job | marital | education | default | housing | loan | contact | month | day_of_week | campaign | previous | emp.var.rate | cons.price.idx | cons.conf.idx | euribor3m | nr.employed | y | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4108 | 32 | admin. | married | university.degree | 0 | 1 | 0 | telephone | may | thu | 5 | 0 | -1.8 | 92.893 | -46.2 | 1.266 | 5099.1 | 0 |
| 4109 | 63 | retired | married | high.school | 0 | 0 | 0 | cellular | oct | wed | 1 | 0 | -3.4 | 92.431 | -26.9 | 0.740 | 5017.5 | 0 |
| 4111 | 30 | technician | married | university.degree | 0 | 0 | 1 | cellular | jun | fri | 1 | 1 | -1.7 | 94.055 | -39.8 | 0.748 | 4991.6 | 0 |
| 4112 | 31 | technician | single | professional.course | 0 | 1 | 0 | cellular | nov | thu | 1 | 0 | -0.1 | 93.200 | -42.0 | 4.076 | 5195.8 | 0 |
| 4113 | 31 | admin. | single | university.degree | 0 | 1 | 0 | cellular | nov | thu | 1 | 0 | -0.1 | 93.200 | -42.0 | 4.076 | 5195.8 | 0 |
| 4114 | 30 | admin. | married | basic.6y | 0 | 1 | 1 | cellular | jul | thu | 1 | 0 | 1.4 | 93.918 | -42.7 | 4.958 | 5228.1 | 0 |
| 4115 | 39 | admin. | married | high.school | 0 | 1 | 0 | telephone | jul | fri | 1 | 0 | 1.4 | 93.918 | -42.7 | 4.959 | 5228.1 | 0 |
| 4116 | 27 | student | single | high.school | 0 | 0 | 0 | cellular | may | mon | 2 | 1 | -1.8 | 92.893 | -46.2 | 1.354 | 5099.1 | 0 |
| 4117 | 58 | admin. | married | high.school | 0 | 0 | 0 | cellular | aug | fri | 1 | 0 | 1.4 | 93.444 | -36.1 | 4.966 | 5228.1 | 0 |
| 4118 | 34 | management | single | high.school | 0 | 1 | 0 | cellular | nov | wed | 1 | 0 | -0.1 | 93.200 | -42.0 | 4.120 | 5195.8 | 0 |
Most frequently occurring
| age | job | marital | education | default | housing | loan | contact | month | day_of_week | campaign | previous | emp.var.rate | cons.price.idx | cons.conf.idx | euribor3m | nr.employed | y | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 28 | services | married | high.school | 0 | 0 | 0 | cellular | jul | tue | 1 | 0 | 1.4 | 93.918 | -42.7 | 4.962 | 5228.1 | 0 | 2 |
| 1 | 28 | student | single | basic.9y | 0 | 1 | 0 | cellular | mar | tue | 1 | 0 | -1.8 | 92.843 | -50.0 | 1.799 | 5099.1 | 1 | 2 |
| 2 | 31 | admin. | married | university.degree | 0 | 0 | 0 | cellular | aug | wed | 1 | 0 | 1.4 | 93.444 | -36.1 | 4.964 | 5228.1 | 0 | 2 |
| 3 | 31 | admin. | single | university.degree | 0 | 1 | 0 | cellular | nov | thu | 1 | 0 | -0.1 | 93.200 | -42.0 | 4.076 | 5195.8 | 0 | 2 |
| 4 | 32 | admin. | married | high.school | 0 | 0 | 0 | cellular | may | thu | 1 | 0 | -1.8 | 92.893 | -46.2 | 1.327 | 5099.1 | 0 | 2 |
| 5 | 32 | admin. | single | university.degree | 0 | 1 | 0 | cellular | aug | thu | 1 | 0 | 1.4 | 93.444 | -36.1 | 4.964 | 5228.1 | 0 | 2 |
| 6 | 32 | admin. | single | university.degree | 0 | 1 | 0 | cellular | jul | thu | 2 | 1 | -1.7 | 94.215 | -40.3 | 0.846 | 4991.6 | 0 | 2 |
| 7 | 32 | services | married | high.school | 0 | 0 | 0 | telephone | may | tue | 1 | 0 | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 0 | 2 |
| 8 | 33 | admin. | single | high.school | 0 | 1 | 0 | cellular | aug | tue | 1 | 0 | 1.4 | 93.444 | -36.1 | 4.963 | 5228.1 | 0 | 2 |
| 9 | 33 | admin. | single | university.degree | 0 | 1 | 0 | cellular | may | thu | 1 | 0 | -1.8 | 92.893 | -46.2 | 1.327 | 5099.1 | 0 | 2 |